Papers
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Total Citations
6
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About
Dr. Shih-an Kuo is a robotics researcher focused on advancing the simulation and control of robotic systems, particularly for low-cost platforms. His most-cited work, "Simulation and Control of a Robotic Arm Using MATLAB, Simulink and TwinCAT" (2020, 6 citations), addresses a critical challenge in robotics: the difficulty of developing and testing robot applications without real-time visualization. By integrating MATLAB, Simulink, and TwinCAT, Dr. Kuo created a simulation environment that streamlines motion path planning and controller parameter tuning, eliminating the need for costly, iterative trials on physical hardware. This contribution is especially valuable for researchers and educators working with budget-constrained robots, as it lowers the barrier to entry for advanced robotic experimentation. Dr. Kuo’s work bridges the gap between software simulation and hardware implementation, enabling more efficient development cycles. His approach has practical implications for industrial automation, educational robotics, and prototyping, making complex control tasks more accessible. With a growing citation record, Dr. Kuo continues to influence the field by providing tools that democratize robotic research and development.
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Top Papers
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